ADC FUNCTIONAL TESTING USING ARTIFICIAL IMMUNE SYSTEMS

• Abstract:

  Artificial immune systems have been considered one of the most promising nature-inspired technique used for novelty detection systems, optimization, identification, etc. One of the main tools of these systems is the Negative-Selection Algorithm that is based on the natural self-nonself discrimination which has made possible the body distinguish any foreign cell from the body's self cell. In this work, it is used the Negative-Selection Algorithm to perform functional testing of analog-to-digital converter. In this way, the evaluation of the converter is performed by a set of immune-based detectors which can detect faulty output responses. Using the immune-based detector set, experimental results have been shown the effectiveness of the proposed method.
• Keywords:

  ADC, functional testing, artificial immune systems, negative-selection algorithm
• Download:

  IMEKO-WC-2009-TC4-483.pdf
• DOI:

  _unreg_wc-2009.483

Event details: